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Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals

机译:多电视:用于生物信息的实时录制和子毫秒处理的集成,多应用平台

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摘要

Enhanced understanding and control of electrophysiology mechanisms are increasingly being hailed as key knowledge in the fields of modern biology and medicine. As more and more excitable cell mechanics are being investigated and exploited, the need for flexible electrophysiology setups becomes apparent. With that aim, we designed Multimed, which is a versatile hardware platform for the real-time recording and processing of biosignals. Digital processing in Multimed is an arrangement of generic processing units from a custom library. These can freely be rearranged to match the needs of the application. Embedded onto a Field Programmable Gate Array (FPGA), these modules utilize full-hardware signal processing to lower processing latency. It achieves constant latency, and sub-millisecond processing and decision-making on 64 channels. The FPGA core processing unit makes Multimed suitable as either a reconfigurable electrophysiology system or a prototyping platform for VLSI implantable medical devices. It is specifically designed for open- and closed-loop experiments and provides consistent feedback rules, well within biological microseconds timeframes. This paper presents the specifications and architecture of the Multimed system, then details the biosignal processing algorithms and their digital implementation. Finally, three applications utilizing Multimed in neuroscience and diabetes research are described. They demonstrate the system’s configurability, its multi-channel, real-time processing, and its feedback control capabilities.
机译:增强了对电生理机制的理解和控制越来越被称为现代生物学和医学领域的关键知识。随着正在调查和利用越来越快的细胞力学,对灵活的电生理设置需要变得明显。通过该目标,我们设计了多电视,这是一个多功能的硬件平台,用于实时录制和处理生物信号。多电视中的数字处理是来自自定义库的通用处理单元的布置。这些可以自由地重新排列以匹配应用的需要。嵌入到现场可编程门阵列(FPGA)上,这些模块利用全硬件信号处理来降低处理延迟。它达到恒定的延迟,以及64个频道的子毫秒处理和决策。 FPGA核心处理单元使多电机适合作为可重新配置的电生理系统或用于VLSI可植入医疗设备的原型化平台。它专门用于开放和闭环实验,并提供一致的反馈规则,以及在生物微秒的时间框架内。本文介绍了多电讯系统的规格和架构,然后详细介绍了生物资源处理算法及其数字实现。最后,描述了利用神经科学和糖尿病研究的三种应用。它们展示了系统的可配置性,其多通道,实时处理及其反馈控制能力。

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